dgs.models.combine.combine.CombineSimilaritiesModule

class dgs.models.combine.combine.CombineSimilaritiesModule(*args: Any, **kwargs: Any)

Given two or more similarity matrices, combine them into a single similarity matrix.

Params

Optional Params

softmax (bool, optional):

Whether to compute the softmax along the last dimension of the resulting weighted similarity matrix. Default DEF_VAL.combine.softmax.

__init__(config: dict[str, any], path: list[str])

Methods

configure_torch_module(module[, train])	Set compute mode and send model to the device or multiple parallel devices if applicable.
forward(*args, **kwargs)
terminate()	Terminate this module and all of its submodules.
validate_params(validations[, attrib_name])	Given per key validations, validate this module's parameters.

Attributes

device	Get the device of this module.
is_training	Get whether this module is set to training-mode.
module_name	Get the name of the module.
module_type
name	Get the name of the module.
name_safe	Get the escaped name of the module usable in filepaths by replacing spaces and underscores.
precision	Get the (floating point) precision used in multiple parts of this module.
softmax